Tech Lead, Vehicle Compute Software
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Before you apply
LocationMountain View, CA, Mountain View, United States
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentEngineering
Company size1–10 people
PostedMay 1, 2025 · 1y ago
Verified live20h ago
May no longer be actively hiring
Posted by the company on May 1, 2025
At a glanceSummarised by Seekless from the posting.
5+ years of experience in ADAS and/or infotainment software development or automotive software engineering
Proficiency in C/C++, Python, or Java for embedded and application development
Hands-on experience with Android Automotive, QNX, Linux, or RTOS for automotive applications
Experience with vehicle networking protocols (CAN, LIN, Automotive Ethernet, SOME/IP)
Knowledge of human-machine interfaces (HMI) and next-gen UI frameworks (Qt, Flutter, Unreal, etc.)
Experience with machine learning, deep learning, or LLMs in an automotive setting is a big plus
Familiarity with cloud-based infotainment services and OTA software updates
Understanding of ADAS systems and their integration with infotainment features
Familiarity with agile development process and latest CI/CD tools
Strong problem-solving, debugging, and optimization skills for real-time and embedded environments
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Design, or related field
Skills
C/C++
Python
Java
Android Automotive
QNX
Linux
RTOS
CAN
LIN
Automotive Ethernet
SOME/IP
Qt
Flutter
Unreal
machine learning
deep learning
LLMs
CI/CD
About the company
At this disruptive EV company, our team is focused on designing, integrating, and manufacturing cutting-edge cars that seamlessly blend electric propulsion with advanced intelligence. We thrive on innovation, collaboration, and pushing the boundaries of what’s possible in the automotive industry.
Description
We are seeking a Tech Lead or Lead Software Engineer to lead the design, development, and optimization of our in-vehicle infotainment (IVI) and autonomy systems. This role will be critical in shaping the user experience for our next-generation electric vehicles, integrating ADAS, vehicle connectivity, and intelligent in-car applications. You will work closely with cross-functional teams across ADAS, HMI, and AI to deliver an AI-centric user experience.
This is an exciting opportunity to help shape the future of electric vehicles in a fast-paced Silicon Valley startup environment.
Responsibilities
Key Responsibilities
•
Develop and integrate ADAS systems including state-of-the-art perception, planning and control functions on top of automotive operation systems and middleware.
•
Develop and integrate IVI systems including navigation, multimedia, connectivity, and voice UI interactions.
•
Lead embedded system development to ensure seamless ADAS and infotainment integration with vehicle hardware and software stack.
•
Optimize operating systems and middleware, including Linux/QNX/Android Automotive, for ADAS and infotainment applications.
•
Implement advanced connectivity solutions (Bluetooth, Wi-Fi, 5G, V2X) to enhance the smart cockpit experience.
•
Integrate AI/LLM-powered applications for voice recognition, personalization, and predictive user assistance.
•
Collaborate with ADAS system engineers to bridge infotainment with autonomous driving features and real-time driving and road data.
•
Develop and test vehicle networking protocols (CAN, Automotive Ethernet) for reliable ADAS and infotainment performance.
•
Optimize digital system security and performance, ensuring low-latency interactions and power efficiency for EV platforms.
Nice to have
Preferred Qualifications
•
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Design, or related field.
•
5+ years of experience in ADAS and/or infotainment software development or automotive software engineering.
•
Proficiency in C/C++, Python, or Java for embedded and application development.
•
Hands-on experience with Android Automotive, QNX, Linux, or RTOS for automotive applications.
•
Experience with vehicle networking protocols (CAN, LIN, Automotive Ethernet, SOME/IP).
•
Knowledge of human-machine interfaces (HMI) and next-gen UI frameworks (Qt, Flutter, Unreal, etc.).
•
Experience with machine learning, deep learning, or LLMs in an automotive setting is a big plus.
•
Familiarity with cloud-based infotainment services and OTA software updates.
•
Understanding of ADAS systems and their integration with infotainment features.
•
Familiarity with agile development process and latest CI/CD tools.
•
Strong problem-solving, debugging, and optimization skills for real-time and embedded environments.
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